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Record W911601888

Voluntary Agreements: First Choice or Escape Strategy?-Invasive Alien Species as a Case

2013· article· en· W911601888 on OpenAlexaboutno aff
Christiane Hubo, Max Krott

Bibliographic record

VenueGerman policy studies/Politikfeldanalyse · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsConvention on Biological DiversityPublic economicsField (mathematics)EconomicsDiversity (politics)BiodiversityPolicy mixPolicy analysisBusinessEnvironmental resource managementPolitical sciencePublic administrationEcologyMacroeconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

1 Introduction In the German policy on biological diversity, voluntary agreements play a role within a policy mix of different types of instruments. In this policy the framework conditions for decision making are shaped by the interplay of several policy sectors resulting from the development of the field. The history of a comprehensive biodiversity policy is still young, formally starting in 1992 with the international Convention on Biological Diversity (CBD). The instruments of this new policy field were developed within the framework of already existing policies. This occurred not only in one single policy sector, but rather, biodiversity policy developed across different policies, building upon their established procedures and instruments. Hence, it is a characteristic of this policy field to be highly cross-sectoral. Originally placed within the nature conservation sector, biodiversity reaches far beyond this traditional policy field, to include many other sectors. Additionally, it focuses not only on protection, but also on the sustainable use of the biodiversity and on benefit sharing. Hence the coordination of sector policies is a crucial topic in this policy field (Hubo, Krott 2010 a). Within the coordination processes the different policy sectors concerned due to their competences and interests have an impact on the choice of instruments. Against this background the question arises as to the extent to which the choice of instruments is affected by the involvement of several policy sectors with their various aims and interests. Are voluntary agreements chosen because the decision-makers in charge believe that they are adequate, or are there other, namely sector-related, incentives or obstacles that explain the choice? We want to explore this question by examining the example of invasive species. This issue has high priority in international biodiversity policy because, in a global perspective, invasive species are recognised as one of the most important threats to biological diversity. They are currently on the political agenda of the European Commission, which is preparing a dedicated legislative instrument on invasive species (EC 2011, p. 13). Many political sectors are involved with this problem, making the issue particularly suitable as a case study. The decision making in this young and evolving field is not yet well known; that is why we choose an explorative approach that allows to develop new concepts and to find unknown interrelations. Before developing the study's analytical framework (chapter 3) to be applied in chapter 4, let us first introduce the biodiversity policy issue of invasive species, including a short overview of the problem field and the relevant policy instruments. 2 The biodiversity policy issue of invasive species 2.1 The problem field Biological invasions caused by human activities are recognised as one of the most important threats to biodiversity in the world. The problem concerns not only the old immigration countries like the USA, Canada, or Australia, where the problem had its starting point, caused by immigration from Europe bringing plants and animals from their home regions to the new areas. Today Europe is also strongly concerned. The problem here is driven mainly by the globalisation of markets, and it is expected to increase in the future, strengthened by increasing trade, tourism and climate change (EEA 2012). According to the CBD, species are called alien if they are introduced to environments where they do not occur naturally. In cases where they establish themselves in the new habitat and threaten natural species or change landscapes they are invasive. Besides harming native biodiversity, they can also have a negative impact on human health and can cause great economic damage (EEA 2012). In Germany more than 800 species are known to be established, but only few have become invasive, threatening the local biodiversity (Kowarik 2010). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.333
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

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